Description: Complete nuclear principal component analysis procedures, including training in recognition, hope that helps
- [fs-kfda] - Feature scaling for kernel Fisher discri
- [kpca_azaaza] - KPCA Kernel Principal Component Analysis
- [FailurePrediction] - matlab PCA applies to TE detection data
- [KStattoolbox] - A very classic nuclear statistical learn
- [zerojustv] - I wrote it myself to determine zero-cros
- [KFDA] - This experiment the use of nuclear Fishe
- [PCA] - Graduate instructors to do the design of
- [blf-kfda] - University of Chicago students are very
- [kpca] - To identify the use of nuclear PcA pictu
- [main2] - The process is complete extraction of se
File list (Check if you may need any files):
KFDA\GetFeature_KFDA.m
....\GetProjection.m
....\GetScatter.m
....\kpca_calc.m
....\kpca_map.m
....\kpca_matrix.m
....\main.m
....\ReadImage.m
....\Recognition.m
KFDA
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